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Dive into the research topics where M Catherine Brown is active.

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Featured researches published by M Catherine Brown.


Cancer | 2015

The role of second-hand smoke exposure on smoking cessation in non-tobacco-related cancers.

Lawson Eng; Xin Qiu; Jie Su; Dan Pringle; Chongya Niu; Mary Mahler; Rebecca Charow; Jodie Villeneuve; Oleksandr Halytskyy; Christine Lam; Kyoko Tiessen; M Catherine Brown; Doris Howell; Meredith Giuliani; Jennifer M. Jones; Shabbir M.H. Alibhai; David P. Goldstein; Wei Xu; Peter Selby; Geoffrey Liu

Second‐hand smoke (SHS) is a significant barrier to smoking cessation after a diagnosis of cancer in patients with lung as well as head and neck cancers. In the current study, the authors evaluated the effect of SHS on smoking cessation among patients with those cancers not traditionally perceived to be strongly associated with smoking.


International Journal of Cancer | 2016

BRM polymorphisms, pancreatic cancer risk and survival

Maja Segedi; Laura N. Anderson; Osvaldo Espin-Garcia; Ayelet Borgida; Teresa Bianco; Dangxiao Cheng; Zhuo Chen; Devalben Patel; M Catherine Brown; Wei Xu; David Reisman; Steven Gallinger; Michelle Cotterchio; Rayjean J. Hung; Geoffrey Liu; Sean P. Cleary

Variant alleles of two promoter polymorphisms in the BRM gene (BRM‐741, BRM‐1321), create MEF2D transcription binding sites that lead to epigenetic silencing of BRM, the key catalytic component of the SWI/SNF chromatin remodeling complex. BRM suppression can be reversed pharmacologically.1 Our group and others have reported associations with lung, head and neck, hepatocellular cancer risk,1–3 and with lung and esophageal cancer prognosis (ASCO 2013; abstract 11057 & 4077). Herein, we assessed risk and survival associations with pancreatic cancer. A provincial population‐based case‐control study was conducted with 623 histologically confirmed pancreatic adenocarcinoma cases and 1,192 age/gender distribution‐matched controls.4 Survival of cases was obtained through the Ontario Cancer Registry. Logistic and Cox proportional hazard regression models were fitted, adjusting for relevant covariates. Median age was 65 y; 52% were male; Stage I (8%), II (55%), III (14%), IV (23%); 53% after curative resection, 79% after chemotherapy; and 83% had died. In the risk analysis, adjusted odds ratios (aOR) were 1.01 (95% CI: 0.1–2.0) and 0.96 (95% CI: 0.7–1.3) for the homozygotes of BRM‐741 and BRM‐1321, respectively; aOR of double‐homozygotes was 1.11 (95% CI: 0.80–1.53), compared to the double‐wildtype. For the survival analysis, adjusted hazard ratios (aHR) were 2.19 (95% CI: 1.9–2.5) for BRM‐741 and 1.94 (95% CI: 1.7–2.2) for BRM‐1321, per unit increase in variant alleles. Compared with the double‐wildtype, aHR for carrying no, one, and two double‐homozygotes were 2.14 (95% CI: 1.6–2.8), 4.17 (95% CI: 3.0–5.7), 8.03 (95% CI: 5.7–11.4), respectively. In conclusion, two functional promoter BRM polymorphisms were not associated with pancreatic adenocarcinoma risk, but are strongly associated with survival.


Journal of Oncology Practice | 2015

Lifestyle Behaviors in Elderly Cancer Survivors: A Comparison With Middle-Age Cancer Survivors

Chongya Niu; Lawson Eng; Xin Qiu; Xiaowei Shen; Osvaldo Espin-Garcia; Yuyao Song; Dan Pringle; Mary Mahler; Oleksandr Halytskyy; Rebecca Charow; Christine Lam; Ravi M. Shani; Jodie Villeneuve; Kyoko Tiessen; M Catherine Brown; Peter Selby; Doris Howell; Jennifer M. Jones; Wei Xu; Geoffrey Liu; Shabbir M.H. Alibhai

PURPOSE Improved cancer screening and treatment have led to a greater focus on cancer survivorship care. Older cancer survivors may be a unique population. We evaluated whether older cancer survivors (age ≥ 65 years) had lifestyle behaviors, attitudes, and knowledge distinct from younger survivors. PATIENTS AND METHODS Adult cancer survivors with diverse cancer subtypes were recruited from Princess Margaret Cancer Centre (Toronto, Ontario, Canada). Multivariable models evaluated the effect of age on smoking, alcohol, and physical activity habits, attitudes toward and knowledge of these habits on cancer outcomes, and lifestyle information and recommendations received from health care providers, adjusted for sociodemographic and clinicopathologic covariates. RESULTS Among the 616 survivors recruited, 23% (n = 139) were older. Median follow-up since diagnosis was 24 months. Older survivors were more likely ex-smokers and less likely current smokers than younger survivors, but they were less likely to know that smoking could affect cancer treatment (adjusted odds ratio [OR], 0.53; P = .007) or prognosis (adjusted OR, 0.53; P = .008). Older survivors were more likely to perceive alcohol as improving overall survival (adjusted OR, 2.39; P = .02). Rates of meeting moderate-to-vigorous physical activity guidelines 1 year before diagnosis (adjusted OR, 0.55; P = .02) and maintaining and improving their exercise levels to meet these guidelines after diagnosis (adjusted OR, 0.48; P = .02) were lower in older survivors. Older and younger cancer survivors reported similar rates of receiving lifestyle behavior information from health care providers (P = .36 to .98). CONCLUSION Older cancer survivors reported being less aware of the impact of smoking on their overall health, more likely perceived alcohol as beneficial to survival, and were less likely to meet exercise goals compared with younger survivors. Survivorship programs need to consider age when counseling on lifestyle behaviors.


Head and Neck-journal for The Sciences and Specialties of The Head and Neck | 2017

Body mass index and prognosis in patients with head and neck cancer: Body mass index and head and neck cancer

Ricardo Ribeiro Gama; Yuyao Song; Qihuang Zhang; M Catherine Brown; Jennifer Wang; Steven Habbous; Li Tong; Shao Hui Huang; Brian O'Sullivan; John Waldron; Wei Xu; David P. Goldstein; Geoffrey Liu

Body mass index (BMI) has been associated variably with head and neck cancer outcomes. We evaluated the association between BMI at either diagnosis or at early adulthood head and neck cancer outcomes.


Cancer Epidemiology | 2017

Early adulthood body mass index, cumulative smoking, and esophageal adenocarcinoma survival

Linda Coate; Rihong Zhai; Wei Xu; Zheng-Fei Chen; Zhuo Chen; Devalben Patel; Brandon C Tse; M Catherine Brown; Rebecca S. Heist; Lorin Dodbiba; Jennifer Teichman; Matthew H. Kulke; Li Su; Lawson Eng; Jennifer J. Knox; Rebecca Wong; Gail Darling; David C. Christiani; Geoffrey Liu

BACKGROUND Smoking and obesity are esophageal adenocarcinoma (EAC) risk factors. However, the same risk factors may also affect biological aggressiveness and cancer outcomes. Our study evaluated the combined effects of early-adulthood obesity and cumulative smoking on the EAC survival. PATIENTS AND METHODS In two EAC cohorts, Toronto (TO; N=235) and Boston (BO; N=329), associations between early adulthood body mass index (EA-BMI), BMI at 1year prior to diagnosis (BMI-1), and smoking with overall survival (OS) were assessed using Cox proportional hazard models, adjusted for relevant covariates. RESULTS Both cohorts were predominantly Caucasian (89%), male (88%), ever-smokers (73%) with locally advanced/metastatic EAC (78%), and good ECOG performance status (90%); median packyears was 34; median EA-BMI, 24; median BMI-1, 25. No relationships with survival were found with BMI-1. For smoking and EA-BMI, TO, BO, and combined TO-BO analyses showed similar associations: smoking conferred worse OS in the combined TO-BO cohort, with adjusted hazard ratios (aHR) of 1.22 (95%CI: 1.15-1.43;p<0.0001) for each 20 pack-year increase. Likewise, EA-BMI ≥25 was associated with worse OS (EA-BMI of 25-<30, aHR=1.84,95%CI: 1.37-2.48; and EA-BMI>30, aHR=2.78, 95%CI: 1.94-3.99). Risk of death was also increased in remotely underweight patients with EA-BMI<18.5 (aHR=2.03,95%CI: 1.27-3.24), when compared to normal-EA-BMI (18≤EA-BMI<25). CONCLUSIONS Two key modifiable behaviors, elevated BMI in early adulthood and heavy cumulative smoking history are independently associated with increased mortality risk in two North American cohorts of EAC patients.


The Canadian journal of clinical pharmacology | 2016

Cancer Patients? Willingness to Routinely Complete the EQ-5D Instrument at Clinic Visits.

Hiten Naik; Xin Qiu; M Catherine Brown; Mary Mahler; Henrique Hon; Kyoko Tiessen; Henry Thai; Valerie Ho; Christina Gonos; Rebecca Charow; Vivien Pat; Margaret Irwin; Lindsay Herzog; Anthea Ho; Wei Xu; Doris Howell; Soo Jin Seung; Geoffrey Liu; Nicole Mittmann

Evidence from literature illustrates that from a pathophysiological perspective, sulfonylureas (SU) may impact the heart three ways: directly by intrinsic properties from a pharmacological receptor perspective, indirectly by adverse effects related to hypoglycemia, and obesity. From a pharmacologlogical receptor perspective, SU can bind to ATP-sensitive potassium channels in cardiomyocytes. Channel binding by SU in cardiac tissue may prevent ischemia myocardial protective mechanisms. From a pathophysiological perspective, obesity is associated with cardiac issues such as pulmonary hypertension, left ventricular hypertrophy, arrhythmia, and atrial fibrillation. From a pathophysiological perspective, hypoglycemia is associated with cardiac sympathetic activation and QT prolongation. With the high prevalence and incidence of diabetes, obesity and aging, future basic and clinical studies should further explore the questions related to the pathophysiology of SU utilization and potential cardiac impact in randomized clinical trials and real-world outcome research settings.Chronic obstructive pulmonary disease (COPD) is a chronic progressive respiratory disease with partially reversible airway obstruction and lung hyperventilation progressing to increasingly frequent and severe exacerbations. The condition is mainly caused by smoking but may result from other causes such as environmental exposure or occupational hazards. Based on Statistics Canada survey data the prevalence of COPD is approximately 4% of the general population, or about 780,000 adults in Canada with 28,000 in Manitoba.


Supportive Care in Cancer | 2018

Patterns, perceptions, and perceived barriers to physical activity in adult cancer survivors

Lawson Eng; Dan Pringle; Jie Su; Xiaowei Shen; Mary Mahler; Chongya Niu; Rebecca Charow; Kyoko Tiessen; Christine Lam; Oleksandr Halytskyy; Hiten Naik; Henrique Hon; Margaret Irwin; Vivien Pat; Christina Gonos; Catherine Chan; Jodie Villeneuve; Luke T.G. Harland; Ravi M. Shani; M Catherine Brown; Peter Selby; Doris Howell; Wei Xu; Geoffrey Liu; Shabbir M.H. Alibhai; Jennifer M. Jones

PurposePhysical activity (PA) during and after cancer treatment is associated with improved cancer- and non-cancer-related outcomes. We assessed for predictors of change in PA levels among cancer survivors.MethodsAdult cancer survivors from a comprehensive cancer center completed a one-time questionnaire retrospectively assessing PA levels before, during, and after cancer treatment along with their perceptions of PA. Multivariable logistic regression models evaluated the association of clinico-demographics variables and perceptions of PA with changes in whether patients were meeting PA guidelines after cancer diagnosis.ResultsAmong the 1003 patients, 319 (32%) met moderate to vigorous PA (MVPA) guidelines before diagnosis. Among those meeting guidelines before diagnosis, 50% still met guidelines after treatment; 12% not meeting MVPA guidelines initially met them after treatment/at follow-up. Among patients meeting guidelines before diagnosis, better ECOG performance status at follow-up, receiving curative therapy, and spending a longer time on PA initially were each associated with meeting guidelines at follow-up. After controlling for other variables, perceiving that PA improves quality of life (adjusted odds ratio, aOR = 11.09, 95%CI [1.42–86.64], P = 0.02) and overall survival (aOR = 8.52, 95%CI [1.12–64.71], P = 0.04) was each associated with meeting MVPA guidelines during/after treatment, in patients who did not meet guidelines initially. Only 13% reported receiving counseling, which was not associated with PA levels. Common reported barriers to PA included fatigue, lacking motivation, and being too busy.ConclusionsPatient perceptions of PA benefits are strongly associated with improving PA levels after a cancer diagnosis. Clinician counseling should focus on patient education and changing patient perceptions.


Supportive Care in Cancer | 2018

Development and prospective evaluation of CAPLET, a cancer ambulatory patient physical function longitudinal evaluation tool for routine clinical practice

Elizabeth Hall; Emily W.Y. Tam; Mindy Liang; Quihuang Zhang; Lin Liu; Lauren Wong; Samantha Sarabia; Sabrina Yeung; Gursharan Gill; Lawson Eng; Andrea Perez-Cosio; M Catherine Brown; Wei Xu; Madeline Li; Nicole Mittmann; Jennifer M. Jones; Doris Howell; Geoffrey Liu

PurposeA patient’s physical function is a critical outcome variable for measuring and improving chronic care management. However, patient-reported outcome measures of physical function are not routinely assessed in cancer outpatients, in part due to limitations of tools available. This study presents the development and evaluation of the Cancer Ambulatory Patient Physical Function Longitudinal Evaluation Tool (CAPLET) as an adaptive response tool for routinely screening for physical dysfunction in oncology clinical practice.MethodsIn phase 1, 407 adult outpatients at Princess Margaret Cancer Centre completed the World Health Organization Disability Assessment Schedule (WHODAS) 2.0, Health Assessment Questionnaire Disability Index (HAQ-DI), EuroQuol-5D-3L ( EQ-5D-3L), and patient-reported outcome (PRO)-Eastern Cooperative Oncology Group (ECOG). CAPLET was developed based on a branching logic algorithm navigating patients to appropriate domains of HAQ-DI/WHOAS using their responses to the PRO-ECOG/EQ-5D-3L as screeners. Sensitivity/specificity of CAPLET screeners for HAQ-DI/WHODAS items were reported. In phase 2, CAPLET vs the WHODAS/HAQ-DI were alternatively administrated to 318 adult outpatients in a two-arm trial comparing time to completion and acceptability between the tools.ResultsUsing a patient’s ECOG status and the sum of the mobility, self-care, and usual activity dimensions of the EQ-5D-3L to dichotomize patients as with or without difficulty, CAPLET achieved a sensitivity > 90% against recommended WHODAS and HAQ-DI cutoffs for significant dysfunction. Sensitivity of screeners for capturing dysfunction in individual WHODAS/HAQ-DI items ranged from 85 to 100%. Compared to the HAQ-DI/WHODAS, CAPLET was associated with a 50% reduction in administration times and improved patient acceptability, while reducing question burden by 84% for half the sample population.ConclusionsCAPLET improves the feasibility of capturing detailed assessments of patient-reported physical function in cancer outpatients.


Health Science Reports | 2018

Development and evaluation of screening dysphagia tools for observational studies and routine care in cancer patients

Michael Borean; Kishan Shani; M Catherine Brown; Judy Chen; Mindy Liang; Joel Karkada; Simranjit Kooner; Mark K. Doherty; Grainne M. O'Kane; Raymond Woo-Jun Jang; Elena Elimova; Rebecca Wong; Gail Darling; Wei Xu; Doris Howell; Geoffrey Liu

Dysphagia can be associated with significant morbidity in cancer patients. We aimed to develop and evaluate dysphagia screener tools for use in observational studies (phase 1) and for routine symptom monitoring in clinical care (phase 2).


Journal of Clinical Oncology | 2016

Differences in perceptions of smoking and second-hand smoke (SHS) in palliative and nonpalliative patients with cancer.

Rahul Mohan; Devon Alton; Jie Su; Yuyao Song; Delaram Farzanfar; Olivia Krys; Tom Yoannidis; Robin Milne; M Catherine Brown; Andrew Hope; Doris Howell; Jennifer M. Jones; Peter Selby; Wei Xu; David P. Goldstein; Meredith Giuliani; Geoffrey Liu; Lawson Eng

251 Background: With improvements in cancer therapies, palliative patients with cancer now enjoy improved and sometimes prolonged survival. Continued smoking after a cancer diagnosis negatively impacts treatment response/toxicities, survival and quality of life and is influenced by SHS exposure. Little is known about the perceptions of palliative patients with cancer in comparison to patients who are considered potentially curative, on smoking after a cancer diagnosis and of SHS exposure. We assessed such potential differences in perception. METHODS Patients with cancer across all sites were surveyed with respect to their smoking habits and perceptions on how smoking and SHS influences cancer-related QofL, fatigue and overall survival (OS). Review of patient charts confirmed which patients were considered palliative versus potentially curative. Multivariable logistic regression models assessed for associations between treatment intent and patient perceptions, adjusted for significant co-variables. RESULTS Among 985 patients with cancer, 22% were considered palliative; 23% of surveyed patients smoked at diagnosis; 10% continued smoking at follow-up. Most patients perceived that continued smoking and SHS exposure negatively impacted QofL (continued smoking: 83%, SHS: 82%), fatigue (83%, 79%) and OS (86%, 81%). Palliative patients were more likely to believe that SHS worsened their cancer-related fatigue (adjusted odds ratio (aOR) = 1.65, 95% CI [1.05-2.56], P = 0.03) and worsened OS (unadjusted OR = 1.92, [1.12-3.33], P= 0.02; aOR = 1.56 [0.98-2.50], P = 0.06). Yet palliative/non-palliative status was not found to be associated with perceived benefits of smoking cessation on QofL, fatigue, or OS (P > 0.10, all comparisons). CONCLUSIONS When compared with non-palliative patients, palliative patients with cancer perceived a greater negative impact of SHS on fatigue and survival, but had similar views of continued smoking after a cancer diagnosis. We are encouraged that palliative status did not lead to patients having diluted perceptions on the negative impact of smoking on cancer outcomes. Health care providers should continue to focus on the positive impacts of smoking cessation and SHS in this setting.

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Geoffrey Liu

Princess Margaret Cancer Centre

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Doris Howell

Princess Margaret Cancer Centre

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Lawson Eng

Princess Margaret Cancer Centre

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Wei Xu

University of Toronto

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Wei Xu

University of Toronto

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Jennifer M. Jones

Princess Margaret Cancer Centre

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David P. Goldstein

Princess Margaret Cancer Centre

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Meredith Giuliani

Princess Margaret Cancer Centre

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Mary Mahler

Princess Margaret Cancer Centre

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Dan Pringle

Princess Margaret Cancer Centre

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